ms> epar objmasks

I R A F Image Reduction and Analysis Facility PACKAGE = nproto TASK = objmasks images = obj262 List of images or MEF files objmasks= om262 List of output object masks (omtype = numbers) Object mask type (skys = sky262) List of input/output sky maps (sigmas = ) List of input/output sigma maps (masks = !BPM) List of input bad pixel masks (extname= ) Extension names (logfile= STDOUT) List of log files (blkstep= 1) Line step for sky sampling (blksize= -10) Sky block size (+=pixels, -=blocks) (convolv= block 3 3) Convolution kernel (hsigma = 3.) Sigma threshold above sky (lsigma = 10.) Sigma threshold below sky (hdetect= yes) Detect objects above sky? (ldetect= no) Detect objects below sky? (neighbo= 8) Neighbor type" (minpix = 6) Minimum number of pixels in detected objects (ngrow = 2) Number of grow rings (agrow = 2.) Area grow factor (mode = ql)

ms> objmasks obj262 om262 skys=sky262

ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:29:40 07-Feb-2002 Image: obj262[im1] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im1.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im1] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2750 objects detected Update sky map: sky262[im1] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im1] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:30:08 07-Feb-2002 Image: obj262[im2] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im2.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im2] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3074 objects detected Update sky map: sky262[im2] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im2] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:30:34 07-Feb-2002 Image: obj262[im3] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im3.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im3] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2801 objects detected Update sky map: sky262[im3] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im3] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:31:02 07-Feb-2002 Image: obj262[im4] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im4.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im4] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3144 objects detected Update sky map: sky262[im4] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im4] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:31:32 07-Feb-2002 Image: obj262[im5] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im5.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im5] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2803 objects detected Update sky map: sky262[im5] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im5] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:32:00 07-Feb-2002 Image: obj262[im6] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im6.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im6] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2562 objects detected Update sky map: sky262[im6] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im6] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:32:31 07-Feb-2002 Image: obj262[im7] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im7.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im7] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3449 objects detected Update sky map: sky262[im7] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im7] ACE: NOAO/IRAF V2.12BETA valdes@localhost Thu 14:32:59 07-Feb-2002 Image: obj262[im8] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im8.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im8] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3444 objects detected Update sky map: sky262[im8] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im8]

ms> epar combine

I R A F Image Reduction and Analysis Facility PACKAGE = mscred TASK = combine input = obj262,obj263 List of images to combine output = comb List of output images (headers= ) List of header files (optional) (bpmasks= ) List of bad pixel masks (optional) (rejmask= ) List of rejection masks (optional) (nrejmas= ) List of number rejected masks (optional) (expmask= ) List of exposure masks (optional) (sigmas = ) List of sigma images (optional) (ccdtype= ) CCD image type to combine (optional) (amps = yes) Combine images by amplifier? (subsets= no) Combine images by subset? (delete = no) Delete input images after combining? (combine= average) Type of combine operation (reject = none) Type of rejection (project= no) Project highest dimension of input images? (outtype= real) Output image pixel datatype (outlimi= ) Output limits (x1 x2 y1 y2 ...) (offsets= none) Input image offsets (masktyp= !objmask) Mask type (maskval= 0.) Mask value (blank = 0.) Value if there are no pixels (scale = @scales) Image scaling (zero = none) Image zero point offset (weight = none) Image weights (statsec= ) Image section for computing statistics (lthresh= INDEF) Lower threshold (hthresh= INDEF) Upper threshold (nlow = 1) minmax: Number of low pixels to reject (nhigh = 1) minmax: Number of high pixels to reject (nkeep = 1) Minimum to keep (pos) or maximum to reject (neg) (mclip = yes) Use median in sigma clipping algorithms? (lsigma = 3.) Lower sigma clipping factor (hsigma = 3.) Upper sigma clipping factor (rdnoise= 0.) ccdclip: CCD readout noise (electrons) (gain = 1.) ccdclip: CCD gain (electrons/DN) (snoise = 0.) ccdclip: Sensitivity noise (fraction) (sigscal= 0.1) Tolerance for sigma clipping scaling corrections (pclip = -0.5) pclip: Percentile clipping parameter (grow = 0.) Radius (pixels) for neighbor rejection (mode = ql)

ms> combine obj262,obj263 comb masktype=!objmask scale=@scales

Feb 11 13:47: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[1] 1.000 om262[im1] obj263[1] 0.956 om263a[im1] Output image = comb[inherit], ncombine = 2 Feb 11 13:47: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[2] 1.000 om262[im2] obj263[2] 0.956 om263a[im2] Output image = comb[inherit], ncombine = 2 Feb 11 13:48: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[3] 1.000 om262[im3] obj263[3] 0.956 om263a[im3] Output image = comb[inherit], ncombine = 2 Feb 11 13:49: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[4] 1.000 om262[im4] obj263[4] 0.956 om263a[im4] Output image = comb[inherit], ncombine = 2 Feb 11 13:49: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[5] 1.000 om262[im5] obj263[5] 0.956 om263a[im5] Output image = comb[inherit], ncombine = 2 Feb 11 13:50: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[6] 1.000 om262[im6] obj263[6] 0.956 om263a[im6] Output image = comb[inherit], ncombine = 2 Feb 11 13:51: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[7] 1.000 om262[im7] obj263[7] 0.956 om263a[im7] Output image = comb[inherit], ncombine = 2 Feb 11 13:51: IMCOMBINE combine = average, scale = @scales, zero = none, weight = none blank = 0. masktype = goodval, maskval = 0 Images Scale Maskfile obj262[8] 1.000 om262[im8] obj263[8] 0.956 om263a[im8] Output image = comb[inherit], ncombine = 2

ms> epar mscpupil

I R A F Image Reduction and Analysis Facility PACKAGE = mscred TASK = mscpupil input = obj262 List of input images output = Pupilmask List of output images (masks = BPM) List of masks (type = mask) Output type (lmedian= no) Subtract line-by-line median? (xc = 27.) Pattern center offset (pixels) (yc = 9.) Pattern center offset (pixels) (rin = 500.) Radius of inner background ring (pixels) (drin = 20.) Width of inner background ring (pixels) (rout = 1300.) Radius of outer background ring (pixels) (drout = 20.) Width of outer background ring (pixels) (funcin = chebyshev) Inner azimuthal background fitting function (orderin= 2) Inner azimuthal background fitting order (funcout= spline3) Outer azimuthal background fitting function (orderou= 2) Outer azimuthal background fitting order (rfuncti= spline3) Radial profile fitting function (rorder = 40) Radial profile fitting order (abin = 0.) Azimuthal bin (deg) (astep = 0.) Azimuthal step (deg) (niterat= 3) Number of rejection iterations (lreject= 3.) Low rejection rms factor (hreject= 3.) High rejection rms factor (datamin= INDEF) Minimum good data value (datamax= INDEF) Maximum good data value (verbose= yes) Print information? (fd = ) (mode = ql)

ms> mscpupil obj262 Pupilmask type=mask

MSCPUPIL: obj262 -> Pupilmask:

ms> epar rmpupil

I R A F Image Reduction and Analysis Facility PACKAGE = mscred TASK = rmpupil input = obj262 List of input images output = pobj262 List of output corrected images pupil = Pupil_I0421 Pupil or list of pupil patterns masks = om262 List of object/bad data masks (pupilma= Pupilmask) Pupil masks (outtype= sdiff) Output type (ncblk = 5) Column smoothing for weights (nlblk = 5) Line smoothing for weights (extfit = im[2367]) Extensions to use in scaling fit (logfile= logfile) Logfile (verbose= yes) Verbose? (mode = ql)

ms> rmpupil obj262 pobj262 Pupil_I0421 om262

RMPUPIL: NOAO/IRAF V2.12BETA valdes@localhost Sun 12:15:11 10-Feb-2002 input = obj262 pattern = Pupil_I0421 weight = Pupil_I0421 ncblk = 5 nlblk = 5 input background = <input> pattern background = <pattern> weight background = <weight> input mask = om262 pattern mask = Pupilmask output = pobj262 outtype = sdiff obj262[im2]: 180.9 obj262[im3]: 164.1 obj262[im6]: 206.9 obj262[im7]: 192.2 <input> = 7328. <pattern> = 0.3521 <weight> = 0.3503 scale = 188.9 pobj262[im1] = obj262[im1] - 188.87 Pupil_I0421[im1] pobj262[im2] = obj262[im2] - 188.87 Pupil_I0421[im2] pobj262[im3] = obj262[im3] - 188.87 Pupil_I0421[im3] pobj262[im4] = obj262[im4] - 188.87 Pupil_I0421[im4] pobj262[im5] = obj262[im5] - 188.87 Pupil_I0421[im5] pobj262[im6] = obj262[im6] - 188.87 Pupil_I0421[im6] pobj262[im7] = obj262[im7] - 188.87 Pupil_I0421[im7] pobj262[im8] = obj262[im8] - 188.87 Pupil_I0421[im8]

ms> epar objmasks

I R A F Image Reduction and Analysis Facility PACKAGE = nproto TASK = objmasks images = pobj262 List of images or MEF files objmasks= om262 List of output object masks (omtype = numbers) Object mask type (skys = sky262) List of input/output sky maps (sigmas = ) List of input/output sigma maps (masks = !BPM) List of input bad pixel masks (extname= ) Extension names (logfile= STDOUT) List of log files (blkstep= 1) Line step for sky sampling (blksize= -10) Sky block size (+=pixels, -=blocks) (convolv= block 3 3) Convolution kernel (hsigma = 3.) Sigma threshold above sky (lsigma = 10.) Sigma threshold below sky (hdetect= yes) Detect objects above sky? (ldetect= no) Detect objects below sky? (neighbo= 8) Neighbor type" (minpix = 6) Minimum number of pixels in detected objects (ngrow = 2) Number of grow rings (agrow = 2.) Area grow factor (mode = ql)

ms> objmasks pobj262 om262

ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:46:03 11-Feb-2002 Image: pobj262[im1] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im1.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im1] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2750 objects detected Update sky map: sky262[im1] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im1] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:46:36 11-Feb-2002 Image: pobj262[im2] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im2.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im2] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2783 objects detected Update sky map: sky262[im2] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im2] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:47:09 11-Feb-2002 Image: pobj262[im3] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im3.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im3] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2764 objects detected Update sky map: sky262[im3] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im3] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:47:45 11-Feb-2002 Image: pobj262[im4] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im4.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im4] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3144 objects detected Update sky map: sky262[im4] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im4] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:48:19 11-Feb-2002 Image: pobj262[im5] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im5.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im5] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2803 objects detected Update sky map: sky262[im5] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im5] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:48:54 11-Feb-2002 Image: pobj262[im6] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im6.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im6] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 2464 objects detected Update sky map: sky262[im6] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im6] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:49:30 11-Feb-2002 Image: pobj262[im7] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im7.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im7] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3315 objects detected Update sky map: sky262[im7] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im7] ACE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:50:06 11-Feb-2002 Image: pobj262[im8] - 32q2 First Pass - DelRA = 0.0, DelDec = 0.0 Bad pixel mask: bpm262/bpm_im8.pl Set sky and sigma: Determine sky and sigma by surface fits: start line = 1, end line = 4096, step = 99.9 xorder = 2, yorder = 2, xterms = half hclip = 2., lclip = 3. Determine sky and sigma by block statistics: Number of blocks: 10 20 Number of pixels per block: 204 204 Number of subblocks: 20 40 Number of pixels per subblock: 102 102 Write sky map: sky262[im8] Detect objects: Convolution: 1. 1. 1. 1. 1. 1. 1. 1. 1. 3444 objects detected Update sky map: sky262[im8] Grow objects: ngrow = 2, agrow = 2. Write object mask: om262[im8]

ms> epar rmfringe

I R A F Image Reduction and Analysis Facility PACKAGE = mscred TASK = rmfringe input = pobj262 List of input images output = pfobj262 List of output corrected images fringe = FringeI010421 Fringe or list of fringe patterns masks = om262 List of object/bad data masks (backgro= sky262) Lisk of input image backgrounds (extfit = ) Extensions to use in scaling fit (logfile= logfile) Logfile (verbose= yes) Verbose? (mode = ql)

ms> rmfringe pobj262 pfobj262 FringeI010421 om262 back=sky262 log=logfile

RMFRINGE: NOAO/IRAF V2.12BETA valdes@localhost Mon 09:58:19 11-Feb-2002 input = pobj262 pattern = FringeI010421 weight = FringeI010421 input background = sky262 pattern background = <pattern> weight background = <weight> input mask = om262 output = pfobj262 outtype = pdiff pobj262[im1]: 0.8127 pobj262[im2]: 0.827 pobj262[im3]: 0.8431 pobj262[im4]: 0.8157 pobj262[im5]: 0.8165 pobj262[im6]: 0.8496 pobj262[im7]: 0.7763 pobj262[im8]: 0.7932 <input> = 7247. <background> = 7248. <pattern> = 0.4926 <weight> = 0.4926 scale = 0.8173 pfobj262[im1] = pobj262[im1] - 0.81727 (FringeI010421[im1] - 0.49265) pfobj262[im2] = pobj262[im2] - 0.81727 (FringeI010421[im2] - 0.49265) pfobj262[im3] = pobj262[im3] - 0.81727 (FringeI010421[im3] - 0.49265) pfobj262[im4] = pobj262[im4] - 0.81727 (FringeI010421[im4] - 0.49265) pfobj262[im5] = pobj262[im5] - 0.81727 (FringeI010421[im5] - 0.49265) pfobj262[im6] = pobj262[im6] - 0.81727 (FringeI010421[im6] - 0.49265) pfobj262[im7] = pobj262[im7] - 0.81727 (FringeI010421[im7] - 0.49265) pfobj262[im8] = pobj262[im8] - 0.81727 (FringeI010421[im8] - 0.49265)